What standard meta data should we have to capture ML Models as an IP?
If we consider registering ML models as IP asset (an NFT) what meta data should be used, what captures the state of the model ? some sort of commitment (e.g. hash) of the weights and structure?
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There seems to be a rush to find metadata standards, but creating such standards is a lengthy and complex process. In my opinion, it would be more practical to adopt existing frameworks developed by organizations like ISO/IEC and IEEE. Both have dedicated working groups focused on metadata and have released specifications for general metadata as well as for specific use cases like AI/ML.
For example:
• ISO/IEC 11179-1:2023: Information Technology — Metadata Registries (MDR) ISO Link
• IEEE P2881: Draft Standard for Learning Metadata Terms IEEE Link
• IEEE 1484.12.1-2020: Standard for Learning Object Metadata IEEE Link
Leveraging these established frameworks would not only reduce the effort required to develop new standards but also facilitate wider and faster adoption across industries.
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